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Master's Thesis: Efficient Markov Chain Monte Carlo Techniques for Studying Large-scale Metabolic Models at Forschungszentrum Jülich GmbH P-VA Personalabrechnung

Language
Setup
Hybrid
Location
Jülich, North Rhine-Westphalia
Type
Internship
Level
intern
Posted

Description

The Modeling and Simulation Group at the Institute of Bio- and Geosciences – Biotechnology (IBG-1) is seeking a Master's student to develop tailored Markov Chain Monte Carlo algorithms for inferring parameters in large-scale metabolic models. The project involves mathematical theory, implementation in an existing C++ framework, validation and benchmarking with a realistic case study, and possible work on Jülich supercomputers or practical modeling. The role is based in Jülich, starts on the next possible date, and offers flexible working arrangements.

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